Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, JH (Lee, Jong-Hyeok) | - |
dc.contributor.author | Jang, KS (Jang, Kyung-Soon) | - |
dc.contributor.author | Kim, BG (Kim, Byung-Gyu) | - |
dc.contributor.author | Jeong, S (Jeong, Seyoon) | - |
dc.contributor.author | Choi, JS (Choi, Jin Soo) | - |
dc.date.accessioned | 2022-04-19T10:02:47Z | - |
dc.date.available | 2022-04-19T10:02:47Z | - |
dc.date.issued | 2015-11 | - |
dc.identifier.issn | 1550-1329 | - |
dc.identifier.issn | 1550-1477 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/147227 | - |
dc.description.abstract | Video data for the Internet traffic is increasing, and video data transmission is important for consideration of real-time process in the Internet of Things (IoT). Thus, in the IoT environment, video applications will be valuable approach in networks of smart sensor devices. High Efficiency Video Coding (HEVC) has been developed by the Joint Collaborative Teamon Video Coding (JCT-VC) as a new generation video coding standard. Recently, HEVC includes range extensions (RExt), scalable coding extensions, and multiview extensions. HEVC RExt provides high resolution video with a high bit-depth and an abundance of color formats. In this paper, a fast intraprediction unit decision method is proposed to reduce the computational complexity of the HEVC RExt encoder. To design intramode decision algorithm, Local Binary Pattern (LBP) of the current prediction unit is used as texture feature. Experimental results show that the encoding complexity can be reduced by up to 12.35% on average in the AI-Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared with HEVC test model (HM) 12.0-RExt4.0 reference software. | - |
dc.format.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SAGE PUBLICATIONS INC | - |
dc.title | Fast Video Encoding Algorithm for the Internet of Things Environment Based on High Efficiency Video Coding | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1155/2015/146067 | - |
dc.identifier.scopusid | 2-s2.0-84947461291 | - |
dc.identifier.wosid | 000364876900001 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.11, no.11, pp 1 - 10 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | - |
dc.citation.volume | 11 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 10 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | INTRA PREDICTION | - |
dc.identifier.url | https://journals.sagepub.com/doi/10.1155/2015/146067 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127
Copyright©Sookmyung Women's University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.